04 // Reference

Frequently asked questions.

Answers about the FieldSight AI platform and pricing. Contact us if something's missing.

Q.01

How does FieldSight AI detect crop issues?

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FieldSight AI ingests multispectral imagery from drones, satellites, or in-field IoT sensors and runs it through neural networks trained on per-leaf resolution scans. It surfaces early markers of fungal disease, pest pressure, water stress, and nutrient deficiency before visible symptoms appear.

Q.02

What do I need to get started?

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Most farms start with their existing scouting drone or satellite feed — FieldSight AI connects to common drone, satellite, and IoT sensor sources that produce multispectral or RGB imagery.

Q.03

How large a farm does FieldSight AI support?

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Standard covers up to 500 acres with weekly satellite sync. Pro removes acreage limits and adds daily drone integrations, advanced RX map exports, and 48-hour disease forecasting.

Q.04

What is an RX map?

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An RX (prescription) map is a georeferenced file your precision sprayer or spreader reads to vary application rate by zone. FieldSight AI generates them automatically from stress detections, reducing chemical waste by an average of 34%.

Q.05

How quickly can I get results after a scan?

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Multispectral analysis typically completes within minutes of upload. Time-series comparisons and disease forecasts update on your dashboard cadence: weekly for Standard, daily for Pro.

Q.06

Can I integrate FieldSight AI with my existing farm software?

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Pro includes API access and webhooks for pushing scan results and RX files into farm management platforms, sprayer controllers, and business intelligence tools.